Description
Duration:
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6 to 12 months (depending on full-time/part-time mode)
Eligibility:
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10+2 (High School) or equivalent (Science/Commerce/Arts with Mathematics preferred)
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Basic knowledge of Mathematics and Statistics is beneficial
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No prior programming experience required (beginners welcome)
Course Modules
1. Foundations of Data Science
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Introduction to Data Science & Analytics
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Role of Data Scientists in Industry
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Data Types and Structures
2. Programming for Data Science
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Python for Data Science (NumPy, Pandas, Matplotlib)
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R Programming (Data Manipulation & Visualization)
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SQL for Database Management
3. Statistics for Data Analysis
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Descriptive & Inferential Statistics
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Probability Distributions
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Hypothesis Testing & Regression Analysis
4. Data Wrangling & Visualization
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Data Cleaning & Preprocessing
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Exploratory Data Analysis (EDA)
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Visualization Tools: Tableau, Power BI, Seaborn, ggplot2
5. Machine Learning
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Supervised vs. Unsupervised Learning
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Algorithms: Linear Regression, Decision Trees, SVM, Clustering
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Model Evaluation & Hyperparameter Tuning
6. Big Data Technologies
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Introduction to Hadoop & Spark
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NoSQL Databases (MongoDB, Cassandra)
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Cloud Computing for Big Data (AWS, Google Cloud)
7. Real-World Applications & Capstone Project
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Industry Case Studies
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End-to-End Data Science Project
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Final Project Presentation & Certification
Learning Outcomes
By the end of this diploma, students will be able to:
✔ Analyze and interpret complex datasets
✔ Build predictive models using Machine Learning
✔ Work with Big Data frameworks like Hadoop & Spark
✔ Create interactive dashboards using visualization tools
✔ Solve real-world business problems using data-driven approaches
Career Opportunities
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Data Analyst
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Business Analyst
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Machine Learning Engineer
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Big Data Engineer
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Data Visualization Specialist
Certification
Upon successful completion, students receive a Diploma in Data Science and Big Data Analytics, enhancing employability in tech-driven industries.
Interested? Contact us for enrollment details!
📧 Email: admissions@institute.edu | 🌐 Website: www.institute.edu
📞 Phone: +1 (123) 456-7890




